Leads a multidisciplinary safety analytics team investigating scaled abuse, developing threat research roadmaps, and influencing automated countermeasures. Requires technical team-management experience, Trust & Safety expertise, SQL or Python fluency, and strong analytical and cross-functional leadership skills.
220k – 275k/yr
On-site4+ YOEEngineering Management
About the role
Responsibilities
Lead and mentor a team of data analysts, scientists, and researchers investigating active threats, platform abuse vectors, and adversarial patterns.
Define a strategic roadmap to prioritize and disrupt high-impact abuse operations through structured research, rigorous analysis, and live experimentation.
Collaborate with safety machine learning teams to identify threat signals and improve automated countermeasures.
Partner with Product, Engineering, Data Science, Policy, Legal, and Revenue to influence safety-by-design decisions.
Guide investment in automated rule engines, machine learning models, and agent moderation tools.
Requirements
2+ years of people-management experience leading technical teams, including engineers, data scientists, analysts, or applied researchers.
4+ years of experience in a Trust & Safety domain, such as fraud, spam, scams, account compromise, or other high-volume threats.
Fluency in SQL and/or Python for data investigation and pattern analysis.
Strong analytical problem-solving skills, including measurement and experimentation expertise.
Experience driving automation adoption in operations or incident-response workflows to increase leverage and reduce manual work.
Excellent communication and cross-functional collaboration skills, including translating complex technical topics for senior leadership.
Nice-to-haves
Experience using LLMs or AI agents for incident response, investigation automation, or signal triage.
Experience addressing scaled abuse at large social platforms, marketplaces, or other high-volume consumer products.
Threat intelligence research experience, including internet infrastructure and attacker tools and techniques.
Passion for Discord or gaming and appreciation for the communities Discord serves.
Degree in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
Compensation
US base salary: $220,000–$275,000, plus equity and benefits.
Lead and grow a team of engineers on Sentry's Billing Platform, owning checkout, invoicing, and spend management features. Requires 5+ years engineering experience (Python/JS/TS preferred), 2+ years management, and strong cross-functional collaboration on distributed systems.
220k – 280k/yrHybrid5+ YOEEngineering Management
Engineering Manager
AdaptiveNew York, NY
Hands-on Engineering Manager leading a team of 5-7 engineers to deliver AI-native ERP products for real estate and construction. Requires 5+ years software engineering with 1-3+ years people management in startups, staying technical while driving execution and architecture.
220k – 270k/yrOn-site5+ YOEEngineering Management
Engineering Manager
GraphiteSan Francisco, CA +1
Engineering Manager balancing hands-on coding, team management, and strategic technical leadership for a modern code review platform. Drives projects, supports team growth, and leads by example with strong technical skills in scalable systems.
220k – 250k/yrOn-siteEngineering Management
Engineering Manager - Product Engineering
Sprinter HealthMenlo Park, CA +1
Leads a team of 8-12 full-stack engineers in a high-growth health tech startup, handling recruiting, coaching, technical direction, and cross-functional collaboration with Product, Operations, and Data to deliver scalable solutions. Requires 3+ years managing teams and 5+ years hands-on engineering experience.
220k – 260k/yrHybridEngineering Management
AI Engineering Manager (Core AI Platform)
FrontSan Francisco, CA
Leads a team of senior AI engineers building and maintaining Front's core AI platform, including LLM integrations, RAG pipelines, and evaluation systems. Guides strategic AI investments, architectural decisions, and cross-team collaboration to enable reliable AI-powered product features.